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[ Unit Test ] Generate Tensorflow ouptut and Comparison
authorjijoong.moon <jijoong.moon@samsung.com>
Mon, 6 Jul 2020 01:24:10 +0000 (10:24 +0900)
committerJijoong Moon <jijoong.moon@samsung.com>
Fri, 10 Jul 2020 07:05:51 +0000 (16:05 +0900)
commitd1fff28cc02f2dd99bc4a3d0cc99af399f0c4c22
treef0d3964a493af6bc93ec0caab69cd2ab391ef6eftree | snapshot
parent8a6b82b73e8ceeab1952a65a2fa51b1ca5973c59commit | diff
[ Unit Test ] Generate Tensorflow ouptut and Comparison

This PR provides:

. Generate Tensorflow output & gradients output for conv2d, pooling2d
. Compare with nntrainer outputs
. TODO : compare gradient after getGradieint func is implemented.

**Self evaluation:**
1. Build test:  [X]Passed [ ]Failed [ ]Skipped
2. Run test:  [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
nntrainer/include/util_func.h diff | blob | history
nntrainer/src/conv2d_layer.cpp diff | blob | history
nntrainer/src/util_func.cpp diff | blob | history
packaging/unittest_layers.tar.gz diff | blob | history
test/input_gen/genInput.py diff | blob | history
test/unittest/unittest_nntrainer_layers.cpp diff | blob | history
Domain: Machine Learning / ML Framework;